CN115102174A - Inter-grid power mutual-aid method for active distribution network - Google Patents
Inter-grid power mutual-aid method for active distribution network Download PDFInfo
- Publication number
- CN115102174A CN115102174A CN202210633504.1A CN202210633504A CN115102174A CN 115102174 A CN115102174 A CN 115102174A CN 202210633504 A CN202210633504 A CN 202210633504A CN 115102174 A CN115102174 A CN 115102174A
- Authority
- CN
- China
- Prior art keywords
- load
- grid
- power
- load capacity
- interval
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000002950 deficient Effects 0.000 claims description 34
- 238000004146 energy storage Methods 0.000 claims description 18
- 230000014759 maintenance of location Effects 0.000 claims description 7
- 230000002093 peripheral effect Effects 0.000 claims description 5
- 238000010521 absorption reaction Methods 0.000 claims description 4
- 230000004308 accommodation Effects 0.000 claims 1
- 230000005684 electric field Effects 0.000 abstract description 4
- 230000001502 supplementing effect Effects 0.000 abstract description 2
- 238000004321 preservation Methods 0.000 description 9
- 230000005611 electricity Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a method for mutually supplementing power among grids of an active distribution network; the electric field load is primarily distributed by fully considering the power protection level and the historical load capacity of the power protection area; meanwhile, load consumption data in the circuit are collected in real time, a surrounding grid interval is selected according to the load consumption state of the circuit to redistribute charges, factors such as self electric quantity and electricity-preserving grade need to be considered for charge redistribution, and power mutual aid of all areas on the active power distribution network is completed while the electricity-preserving area is guaranteed to supply power preferentially.
Description
Technical Field
The invention relates to the field of active distribution networks, in particular to an inter-grid power mutual aid method of an active distribution network.
Background
With continuous breakthrough recording of the peak value of the electrical load in the whole society, the peak load regulation pressure of the power grid is increasing day by day, and a wider demand response means is urgently needed to be developed in order to liberate the construction and development of multiple high-elasticity power grids. In the society of the present stage, the scientific and technological development causes the power consumption to gradually rise, and in the peak period of power utilization, the power load of partial areas is rich, and the power load of partial areas is seriously insufficient, and the power plant needs to correspondingly allocate the power consumption and the partial areas so as to meet the power utilization guarantee of modern work and life.
For example, a method for mutually supplementing the direct current power of a multi-loop extra-high voltage direct-fed alternating current system disclosed in chinese patent application, which is disclosed in the publication No. CN112054550B, constructs a constraint model of a transmitting-end and receiving-end alternating current system through thevenin equivalent parameters of the transmitting-end and receiving-end alternating current systems and equivalent PQ node parameters of the transmitting-end and receiving-end alternating current sides obtained by a quasi-steady mathematical model; under the condition of multiple constraints, the maximum value of the active power fed into each return direct current line is optimized and solved, the adjustable capacity of the direct current line is corrected according to the current direct current running state and the equivalent inertia of a sending end alternating current system of the direct current line, the frequency current reference droop coefficient of the direct current line is calculated according to the corrected adjustable capacity, and the direct current reference value of the direct current line is adjusted. The invention fully plays the role of power mutual aid among multiple feed-in direct currents, and enhances the power supporting capability to improve the stability and robustness of a receiving end alternating current system. However, the power coordination is only between two loops, and the load distribution in multiple loops cannot be performed, and the power coordination cannot be adapted to the power coordination in the full distribution network environment of the active distribution network.
Disclosure of Invention
The invention mainly aims at the problem that the supply of regional electric quantity is deficient but can not be fed back and supplemented due to less consideration in the load distribution process of the active distribution network in the prior art; providing a method for mutual power assistance between grids of an active distribution network; the electric field load is primarily distributed by fully considering the power preservation level and the historical load capacity of the power preservation area; meanwhile, load consumption data in the circuit are collected in real time, a surrounding grid interval is selected according to the load consumption state of the circuit to redistribute charges, factors such as self electric quantity and electricity-preserving grade need to be considered for charge redistribution, and power mutual aid of all areas on the active power distribution network is completed while the electricity-preserving area is guaranteed to supply power preferentially.
The technical problem of the invention is mainly solved by the following technical scheme:
a method for inter-grid power coordination for an active distribution network, the method comprising:
step S1, dividing the platform area into different grid intervals according to the function; marking a grid interval; acquiring historical information of the circuit breaker to acquire load consumption estimation data of each grid interval; performing initial distribution of electric quantity according to the load consumption estimation data;
step S2, acquiring real-time information of a breaker to acquire the power load of each grid interval; marking rich grid intervals and deficient grid intervals according to the proportion of the load consumption and the primary distribution data;
step S3, carrying out load redistribution on the load of each grid section;
step S4, collecting the load consumption information of the current day of redistribution; and adjusting the proportion of the load consumption data on the current day, and performing secondary planning on the initial distribution on the next day again.
The electric field load is primarily distributed by fully considering the power protection level and the historical load capacity of the power protection area; meanwhile, load consumption data in the circuit are collected in real time, a surrounding grid interval is selected according to the load consumption state of the circuit to redistribute charges, factors such as self electric quantity and electricity-preserving grade need to be considered for charge redistribution, and power mutual aid of all areas on the active power distribution network is completed while the electricity-preserving area is guaranteed to supply power preferentially.
Preferably, the load initial allocation step is as follows:
s21: fitting historical daily average load change data of the users in each grid interval through a clustering algorithm to form a load consumption prediction curve;
s22: calculating daily load consumption of each grid interval according to the load consumption estimation curve;
s23: preferentially distributing power conservation areas; and distributing the load electric quantity of other areas according to daily load consumption ratio.
Since the electricity load is related to the environment in the near day, and the environment in consecutive days generally does not change greatly, the initial distribution of the electricity amount needs to be performed in consideration of the historical load consumption data in the recent period. And the electricity-saving area is a preferential allocation area.
Preferably, the rich zone and the lean zone are divided as follows:
step S31, marking the daily load consumption state in real time, and comparing the daily load consumption state with the consumed power in the load consumption estimation curve;
step S32, if the real-time power exceeds the predicted power of the load consumption prediction curve, marking the time point and recording the time period exceeding the predicted power, wherein the accumulated record of the time period is t 1 (ii) a If the real-time power is lower than the predicted power of the load consumption prediction curve by more than 5%; the time point is marked and the time period below the predicted power, which is cumulatively recorded as t, is recorded 2 ；
Step S33, if t 1 If the time is more than two hours, marking the interval as a deficient grid interval; if t 2 And if the time is more than two hours, marking the interval as an affluence grid interval.
The power consumption of the deficient grid section exceeds the expected power consumption, even a small amount of power gaps can cause power failure, so that the life quality is influenced, and the time needs to be marked. However, the rich grid section does not affect the daily life and work, and the region needs to hold a certain amount of power, so that more than 5% of the power needs to be recorded as the rich grid section.
Preferably, the electricity-retention areas are arranged in a graded manner as follows: hospitals, schools, factories and business areas are residential areas, and the power-preserving areas needing power preservation are divided according to the importance levels.
Preferably, the load reallocation method for the starved grid section is as follows:
step S51, acquiring the position, the energy storage capacity and the load consumption information of the grid interval around the deficient grid interval according to the active distribution network topological structure;
step S52, judging whether the surrounding grid interval is a deficient grid interval; the peripheral deficient network interval does not participate in the current load redistribution;
step S53, judging the power protection level of the grid interval; if the electricity-keeping grade is higher than the lack grid interval, the electricity-keeping grade does not participate in the redistribution of the load; if the power retention level is lower than the deficient network interval, weighting and proportioning according to the power retention level;
step S54, analyzing the energy storage capacity in the grid interval participating in the current load redistribution; determining the redistributed load capacity according to the energy storage capacity;
and step S55, performing load redistribution to the deficient grid section according to the optimal load dissipation path.
The lack of grid section needs to judge the surrounding type first, and because the power-preserving level has a priority, the power-preserving level of the grid section needs to be compared first and then the distribution processing is carried out on the electric quantity.
Preferably, the method for confirming the redistribution of the load capacity between the short mesh zone and the mesh zones around the short mesh zone is as follows:
step S61, collecting load consumption information of surrounding grid intervals; setting the number of grid intervals participating in distribution as N;
step S62, assigning the allocation amount of each grid interval according to the following formula:
wherein Q is the load quantity required by the deficient grid interval; lambda 1 、λ 2 、λ 3 、λ 4 、λ 5 、λ 6 Respectively a factory load weighting coefficient, a business area load weighting coefficient, a residential area load weighting coefficient, a school load weighting coefficient, a hospital load weighting coefficient and other place load weighting coefficients;
a 1 、a 2 、a 3 、a 4 、a 5 、a 6 respectively comparing the remaining load capacity of the factory with the initially distributed load capacity of the factory, the remaining load capacity of the business area with the initially distributed load capacity of the business area, the remaining load capacity of the residential area with the initially distributed load capacity of the residential area, the remaining load capacity of the school with the initially distributed load capacity of the school, the remaining load capacity of the hospital with the initially distributed load capacity of the hospital and the remaining load capacity of other places with the initially distributed load capacity of other places;
Q 1 、Q 2 、Q 3 、Q 4 、Q 5 、Q i the load capacity of a factory, the load capacity of a business district, the load capacity of a residential district, the load capacity of a school, the load capacity of a hospital and the load capacity of the ith other place are respectively;
wherein λ j a j Q j Redistributing the charge quantity for each grid interval; j takes a value of 1 to N.
The grid load electric quantity is matched according to different grid section conditions, the deficient grid section needs to obtain the load electric quantity outwards, so the electric quantity needs to be adjusted to a certain extent,
preferably, the method for redistributing the load of the rich grid section is as follows:
step S71, acquiring the position, energy storage capacity and load consumption information of grid intervals around the rich grid interval according to the active distribution network topological structure;
step S72, judging whether the surrounding grid interval is an affluent grid interval; the surrounding rich network interval does not participate in the current load redistribution;
step S73, judging the power protection level of the grid interval; if the power guarantee level is higher than the rich grid interval, the power guarantee level preferentially participates in the redistribution of the load; if the power guarantee level is lower than the rich network interval, weighting and proportioning according to the power guarantee level;
step S74, analyzing the energy storage capacity in the grid interval participating in the load redistribution; determining the redistributed load capacity according to the energy storage capacity;
step S75 is to redistribute the load to each mesh interval around the rich mesh interval according to the optimal load sharing route.
The rich grid section needs to judge the surrounding types first, and the power guarantee level of the grid section needs to be compared first and then the power is distributed because the power guarantee level has priority.
Preferably, the method for confirming the surplus mesh zone and the peripheral mesh zones to redistribute the load capacity is as follows:
step S81, collecting load consumption information of surrounding grid intervals; setting the number of grid intervals participating in distribution as N;
step S82, assigning the allocation amount of each grid interval according to the following formula:
wherein Q is the abundant load capacity of the abundant grid interval, namely 2% of the load capacity allocated at the beginning of the day; y is 1 、y 2 、y 3 、y 4 、y 5 、y 6 Respectively a factory load weighting coefficient, a business area load weighting coefficient, a residential area load weighting coefficient, a school load weighting coefficient, a hospital load weighting coefficient and other place load weighting coefficients;
b 1 、b 2 、b 3 、b 4 、b 5 、b 6 respectively comparing the remaining load capacity of the factory with the initially distributed load capacity of the factory, the remaining load capacity of the business area with the initially distributed load capacity of the business area, the remaining load capacity of the residential area with the initially distributed load capacity of the residential area, the remaining load capacity of the school with the initially distributed load capacity of the school, the remaining load capacity of the hospital with the initially distributed load capacity of the hospital and the remaining load capacity of other places with the initially distributed load capacity of other places;
Q 1 、Q 2 、Q 3 、Q 4 、Q 5 、Q i the load capacity of a factory, the load capacity of a business district, the load capacity of a residential district, the load capacity of a school, the load capacity of a hospital and the load capacity of the ith other place are respectively;
wherein y is j b j Q j Redistributing the charge quantity for each grid interval; j takes a value of 1 to N.
The grid load electric quantity is matched according to different grid interval conditions, the rich interval needs to be given with electric quantity outwards, therefore, the electric quantity needs to be adjusted to a certain degree, and the optimal selection is carried out, and in the redistribution of the deficient grid interval, lambda is 5 <λ 4 <λ 1 <λ 2 ＝λ 3 <λ 6 (ii) a In the reallocation of rich grid intervals, y 1 <y 3 ＝<y 2 <y 1 <y 4 <y 5 . Since the power-conserving region needs to retain its own power as much as possible when distributing outward, the power-conserving region needs to be as followsThe power protection level reduces the external distribution amount; when the electric quantity is distributed inwards, the electric quantity in the power protection area needs to be proportioned to more electric quantity as much as possible, so that the internal distribution quantity needs to be increased according to the power protection level.
Preferably, the optimal load-absorbing path is:
step S101, taking the grid interval as a load node based on an active distribution network;
step S102, referring to a power distribution network path information database among load nodes, taking grid intervals needing to be redistributed as reference nodes, searching the moving paths of the reference nodes passing through different load nodes according to each power distribution network path, and calculating the moving cost of each path;
step S103, setting a single node with the minimum moving cost on the non-loop line as the nearest node relative to the reference node;
step S104, all the nearest nodes are defined ranges of the rich grid intervals or the grid intervals around the deficient grid intervals;
and step S105, setting the path from the reference node to the nearest node as an optimal load absorption path.
The optimal consumption path can ensure that each distribution path is distributed according to the condition of minimum consumption in the distribution process, and unnecessary electric quantity loss caused by path distribution is avoided.
The beneficial effects of the invention are:
the electric field load is primarily distributed by fully considering the power preservation level and the historical load capacity of the power preservation area; meanwhile, load consumption data in the circuit are collected in real time, a surrounding grid interval is selected according to the load consumption state of the circuit to redistribute charges of the circuit, factors such as the self electric quantity and the power preservation grade of the circuit need to be considered for charge redistribution, and power mutual aid of all areas on the active power distribution network is completed while the power preservation area is guaranteed to supply power preferentially.
Drawings
FIG. 1 is a flow chart of the method employed in the present invention.
Detailed Description
It should be understood that the examples are illustrative of the invention only and are not intended to limit the scope of the invention. Further, it should be understood that various changes or modifications of the present invention can be made by those skilled in the art after reading the teaching of the present invention, and these equivalents also fall within the scope of the claims appended to the present application.
The technical scheme of the invention is further specifically described by the following embodiments.
An inter-grid power mutual aid method for an active distribution network comprises the following steps:
firstly, dividing grid intervals; acquiring historical information of the circuit breaker to acquire load consumption estimation data of each grid interval; performing initial distribution of electric quantity according to load consumption estimated data:
in the initial distribution process, firstly, the historical daily average load change data of users in each grid interval is fitted through a clustering algorithm to form a load consumption estimation curve; and calculating the daily load consumption of each grid interval according to the load consumption estimation curve.
The electric quantity needs to be firstly distributed to the electricity-saving area; and other areas distribute the load electric quantity according to daily load consumption ratio.
Secondly, acquiring real-time information of the circuit breaker to acquire the power load of each grid interval; marking rich grid intervals and deficient grid intervals according to the proportion of load consumption and primary distribution data:
marking the daily load consumption state in real time, and comparing the daily load consumption state with the consumed power in the load consumption prediction curve; if the real-time power exceeds the predicted power of the load consumption prediction curve, marking the time point and recording the time period exceeding the predicted power, wherein the accumulated record of the time period is t 1 (ii) a If the real-time power is lower than the predicted power of the load consumption prediction curve by more than 5 percent; the time point is marked and the time period below the predicted power is recorded cumulatively as t 2 。
If t 1 If the time is more than two hours, marking the interval as a deficient grid interval; if t 2 And if the time is more than two hours, marking the interval as an affluence grid interval.
The marks of the rich sections can ensure that the rich sections have certain self-reserved electric quantity, and the deficient sections need to supplement and control the electric quantity load in an emergency manner, so that the gliding tendency is reduced.
Thirdly, load redistribution is carried out on the load of each grid section:
the load reallocation method of the deficient grid interval comprises the following steps:
step 1, acquiring the position, the energy storage capacity and the load consumption information of a grid interval around a deficient grid interval according to an active distribution network topological structure.
Step 2, judging whether the peripheral grid interval is a deficient grid interval; the surrounding deficient network interval does not participate in the load redistribution.
Step 3, judging the power preservation level of the grid interval; if the electricity-keeping grade is higher than the lack grid interval, the electricity-keeping grade does not participate in the redistribution of the load; if the power retention level is lower than the deficient network interval, weighting and proportioning according to the power retention level; lambda [ alpha ] 1 、λ 2 、λ 3 、λ 4 、λ 5 、λ 6 Respectively a factory load weighting coefficient, a business area load weighting coefficient, a residential area load weighting coefficient, a school load weighting coefficient, a hospital load weighting coefficient and other place load weighting coefficients;
step 4, analyzing the energy storage capacity in the grid interval participating in the current load redistribution; determining the redistributed load capacity according to the energy storage capacity:
setting the number of grid intervals participating in distribution as N; the allocation amount of each grid interval is distributed according to the following formula:
wherein Q is the load quantity required by the deficient grid interval; a is a 1 、a 2 、a 3 、a 4 、a 5 、a 6 Respectively comparing the remaining load capacity of the factory with the initial load capacity of the factory, the remaining load capacity of the business area with the initial load capacity of the business area, the remaining load capacity of the residential area with the initial load capacity of the residential area, the remaining load capacity of the school with the initial load capacity of the school, the remaining load capacity of the hospital with the initial load capacity of the hospital, and the remaining load capacity of other places and the initial load capacity of the other placesThe load capacity ratio is initially distributed in other places;
Q 1 、Q 2 、Q 3 、Q 4 、Q 5 、Q i the load capacity of a factory, the load capacity of a business district, the load capacity of a residential district, the load capacity of a school, the load capacity of a hospital and the load capacity of the ith other place are respectively;
wherein λ j a j Q j Redistributing the charge quantity for each grid interval; j takes a value of 1 to N.
The load reallocation method for the rich grid interval comprises the following steps:
step 1, acquiring the position, the energy storage capacity and the load consumption information of grid intervals around the rich grid interval according to the active distribution network topological structure.
Step 2, judging whether the surrounding grid interval is an affluent grid interval; the surrounding rich network intervals do not participate in the current load redistribution.
Step 3, judging the power preservation level of the grid interval; if the power guarantee level is higher than the rich grid interval, the power guarantee level preferentially participates in the redistribution of the load; if the power guarantee level is lower than the rich network interval, weighting and proportioning according to the power guarantee level; y is 1 、y 2 、y 3 、y 4 、y 5 、y 6 Respectively a factory load weighting coefficient, a business district load weighting coefficient, a residential district load weighting coefficient, a school load weighting coefficient, a hospital load weighting coefficient and other place load weighting coefficients.
Step 4, analyzing the energy storage capacity in the grid interval participating in the redistribution of the load; determining the redistributed load capacity according to the energy storage capacity:
setting the number of grid intervals participating in distribution as N; the allocation amount of each grid interval is allocated according to the following formula:
wherein Q is the abundant load capacity of the abundant grid interval, namely 2% of the load capacity allocated at the beginning of the day; b 1 、b 2 、b 3 、b 4 、b 5 、b 6 Respectively comparing the remaining load capacity of the factory with the initial load capacity of the factory, comparing the remaining load capacity of the business area with the initial load capacity of the business area, comparing the remaining load capacity of the residential area with the initial load capacity of the residential area, comparing the remaining load capacity of the school with the initial load capacity of the school, comparing the remaining load capacity of the hospital with the initial load capacity of the hospital, and comparing the remaining load capacity of other places with the initial load capacity of other places;
Q 1 、Q 2 、Q 3 、Q 4 、Q 5 、Q i the load capacity of a factory, the load capacity of a business district, the load capacity of a residential district, the load capacity of a school, the load capacity of a hospital and the load capacity of the ith other place are respectively;
wherein y is j b j Q j Redistributing the charge quantity for each grid interval; j takes a value of 1 to N.
And 5, performing load redistribution on each grid interval around the surplus grid interval according to the optimal load dissipation path.
Thirdly, load redistribution is carried out on the deficient grid interval according to the optimal load absorption path:
step S101, taking the grid interval as a load node based on an active distribution network;
step S102, referring to a power distribution network path information database among load nodes, taking grid intervals needing to be redistributed as reference nodes, searching the moving paths of the reference nodes passing through different load nodes according to each power distribution network path, and calculating the moving cost of each path;
step S103, setting a single node with the minimum moving cost on the non-loop line as the nearest node relative to the reference node;
step S104, all the nearest nodes are defined ranges of the rich grid intervals or the grid intervals around the deficient grid intervals;
and step S105, setting the path from the reference node to the nearest node as an optimal load-absorbing path.
Fourthly, collecting the load consumption information of the redistributed current day; and adjusting the proportion of the load consumption data on the current day, and performing secondary planning on the initial distribution of the next day again.
Claims (10)
1. An inter-grid power coordination method for an active distribution network, the method comprising:
step S1, dividing the platform area into different grid intervals according to the function; marking a grid interval; acquiring historical information of the circuit breaker to acquire load consumption estimation data of each grid interval; performing initial distribution of electric quantity according to the load consumption estimation data;
step S2, acquiring real-time information of the circuit breaker to acquire the power load of each grid interval; marking rich grid intervals and deficient grid intervals according to the proportion of the load consumption and the primary distribution data;
step S3, carrying out load redistribution on the load of each grid interval;
step S4, collecting the load consumption information of the current day of redistribution; and adjusting the proportion of the load consumption data on the current day, and performing secondary planning on the initial distribution of the next day again.
2. The method of claim 1, wherein the inter-grid power coordination method for the active distribution network comprises: the load initial distribution steps are as follows:
s21: fitting historical daily average load change data of the users in each grid interval through a clustering algorithm to form a load consumption prediction curve;
s22: calculating daily load consumption of each grid interval according to the load consumption estimation curve;
s23: preferentially distributing power conservation areas; and distributing the load electric quantity of other areas according to daily load consumption ratio.
3. The method of claim 1, wherein the inter-grid power coordination method for the active distribution network comprises: the rich area and the lean area are divided as follows:
step S31, marking the daily load consumption state in real time, and comparing the daily load consumption state with the consumed power in the load consumption estimation curve;
step S32, if the real-time power exceeds the predicted power of the load consumption prediction curve, marking the real-time powerThe time point is set and the time period exceeding the predicted power is recorded, and the accumulated time period is recorded as t 1 (ii) a If the real-time power is more than 5% lower than the predicted power of the load consumption prediction curve, marking the time point and recording the time period lower than the predicted power, wherein the accumulated record of the time period is t 2 ；
Step S33, if t 1 If the time is more than two hours, marking the interval as a deficient grid interval; if t 2 If the time is more than two hours, the interval is marked as an affluent grid interval.
4. The method of claim 1, wherein the inter-grid power coordination method for the active distribution network comprises: the power retention rating is arranged as follows: hospital > school > factory > business area ═ residential area.
5. The method of claim 4, wherein the inter-grid power coordination method for the active distribution network comprises: the load reallocation method of the deficient grid interval comprises the following steps:
step S51, acquiring the position, the energy storage capacity and the load consumption information of the grid interval around the deficient grid interval according to the active distribution network topological structure;
step S52, judging whether the surrounding grid interval is a deficient grid interval; the peripheral deficient network interval does not participate in the current load redistribution;
step S53, judging the power protection level of the grid interval; if the electricity-keeping grade is higher than the lack grid interval, the electricity-keeping grade does not participate in the redistribution of the load; if the power retention level is lower than the deficient network interval, weighting and proportioning according to the power retention level;
step S54, analyzing the energy storage capacity in the grid interval participating in the current load redistribution; determining the redistributed load capacity according to the energy storage capacity;
and step S55, performing load redistribution to the deficient grid section according to the optimal load dissipation path.
6. The method of claim 5, wherein the inter-grid power coordination method for the active distribution network comprises: the method for confirming the shortage of the grid interval and the redistribution load capacity of the grid intervals around the shortage of the grid interval is as follows:
step S61, collecting load consumption information of surrounding grid intervals; setting the number of the grid intervals participating in distribution as N;
step S62, assigning the allocation amount of each grid interval according to the following formula:
wherein Q is the load quantity required by the deficient grid interval; lambda [ alpha ] 1 、λ 2 、λ 3 、λ 4 、λ 5 、λ 6 Respectively a factory load weighting coefficient, a business area load weighting coefficient, a residential area load weighting coefficient, a school load weighting coefficient, a hospital load weighting coefficient and other site load weighting coefficients;
a 1 、a 2 、a 3 、a 4 、a 5 、a 6 respectively comparing the remaining load capacity of the factory with the initial load capacity of the factory, comparing the remaining load capacity of the business area with the initial load capacity of the business area, comparing the remaining load capacity of the residential area with the initial load capacity of the residential area, comparing the remaining load capacity of the school with the initial load capacity of the school, comparing the remaining load capacity of the hospital with the initial load capacity of the hospital, and comparing the remaining load capacity of other places with the initial load capacity of other places;
Q 1 、Q 2 、Q 3 、Q 4 、Q 5 、Q i the load capacity of a factory, the load capacity of a business district, the load capacity of a residential district, the load capacity of a school, the load capacity of a hospital and the load capacity of the ith other place are respectively;
wherein λ j a j Q j Redistributing the electric charge quantity for each grid interval; j takes a value of 1 to N.
7. The method of claim 4, wherein the inter-grid power coordination method for the active distribution network comprises:
the load reallocation method for the rich grid interval comprises the following steps:
step S71, acquiring the position, energy storage capacity and load accommodation information of the grid intervals around the rich grid intervals according to the active distribution network topological structure;
step S72, judging whether the surrounding grid interval is an affluent grid interval; the surrounding rich network interval does not participate in the current load redistribution;
step S73, judging the power protection level of the grid interval; if the power guarantee level is higher than the rich grid interval, the power guarantee level preferentially participates in the redistribution of the load; if the power guarantee level is lower than the rich network interval, weighting and proportioning according to the power guarantee level;
step S74, analyzing the energy storage capacity in the grid interval participating in the load redistribution; determining the redistributed load capacity according to the energy storage capacity;
step S75 is to redistribute the load to each mesh interval around the rich mesh interval according to the optimal load sharing route.
8. The method of claim 7, wherein the inter-grid power coordination method for the active distribution network comprises: the method for confirming the surplus grid interval and the redistribution load capacity of the peripheral grid interval comprises the following steps:
step S81, collecting load consumption information of surrounding grid intervals; setting the number of grid intervals participating in distribution as N;
step S82, assigning the allocation amount of each grid interval according to the following formula:
wherein Q is the abundant load capacity of the abundant grid interval, namely 2% of the load capacity allocated at the beginning of the day; y is 1 、y 2 、y 3 、y 4 、y 5 、y 6 Respectively a factory load weighting coefficient, a business area load weighting coefficient, a residential area load weighting coefficient, a school load weighting coefficient, a hospital load weighting coefficient and other place load weighting coefficients;
b 1 、b 2 、b 3 、b 4 、b 5 、b 6 respectively comparing the remaining load capacity of the factory with the initial load capacity of the factory, comparing the remaining load capacity of the business area with the initial load capacity of the business area, comparing the remaining load capacity of the residential area with the initial load capacity of the residential area, comparing the remaining load capacity of the school with the initial load capacity of the school, comparing the remaining load capacity of the hospital with the initial load capacity of the hospital, and comparing the remaining load capacity of other places with the initial load capacity of other places;
Q 1 、Q 2 、Q 3 、Q 4 、Q 5 、Q i the load capacity of a factory, the load capacity of a business district, the load capacity of a residential district, the load capacity of a school, the load capacity of a hospital and the load capacity of the ith other place are respectively;
wherein y is j b j Q j Redistributing the electric charge quantity for each grid interval; j takes a value of 1 to N.
9. The method of claim 6 and 8, wherein the method comprises: in the redistribution of the starved grid interval, λ 5 <λ 4 <λ 1 <λ 2 ＝λ 3 <λ 6 (ii) a In the reallocation of rich grid intervals, y 1 <y 3 ＝<y 2 <y 1 <y 4 <y 5 。
10. The method of claim 5 or 7, wherein the method comprises: the optimal load absorption path is as follows:
step S101, taking a grid interval as a load node based on an active distribution network;
step S102, referring to a power distribution network path information database among load nodes, taking grid intervals needing to be redistributed as reference nodes, searching the moving paths of the reference nodes passing different load nodes according to each power distribution network path, and calculating the moving cost of each path;
step S103, setting a single node with the minimum moving cost on the non-loop line as the nearest node relative to the reference node;
step S104, all nearest nodes are defined ranges of the rich grid sections or the grid sections around the deficient grid sections;
and step S105, setting the path from the reference node to the nearest node as an optimal load absorption path.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210633504.1A CN115102174A (en) | 2022-06-06 | 2022-06-06 | Inter-grid power mutual-aid method for active distribution network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210633504.1A CN115102174A (en) | 2022-06-06 | 2022-06-06 | Inter-grid power mutual-aid method for active distribution network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115102174A true CN115102174A (en) | 2022-09-23 |
Family
ID=83288396
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210633504.1A Pending CN115102174A (en) | 2022-06-06 | 2022-06-06 | Inter-grid power mutual-aid method for active distribution network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115102174A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118074140A (en) * | 2024-04-18 | 2024-05-24 | 宁波市电力设计院有限公司 | Planning method and planning system for optimizing and enhancing reliability of power distribution network |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015074525A1 (en) * | 2013-11-19 | 2015-05-28 | 国家电网公司 | Control system of multi-terminal flexible direct-current power transmission system, and control method therefor |
| CN107832926A (en) * | 2017-10-23 | 2018-03-23 | 中国南方电网有限责任公司电网技术研究中心 | Planning state distribution transformer load calculation method and system |
| CN109523060A (en) * | 2018-10-22 | 2019-03-26 | 上海交通大学 | Ratio optimization method of the high proportion renewable energy under transmission and distribution network collaboration access |
| WO2021213192A1 (en) * | 2020-04-22 | 2021-10-28 | 国网江苏省电力有限公司苏州供电分公司 | Load prediction method and load prediction system employing general distribution |
| CN114142469A (en) * | 2021-12-02 | 2022-03-04 | 国网河南省电力公司经济技术研究院 | Source network load storage hierarchical economic adaptation method considering multivariate adjusting resources |
-
2022
- 2022-06-06 CN CN202210633504.1A patent/CN115102174A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015074525A1 (en) * | 2013-11-19 | 2015-05-28 | 国家电网公司 | Control system of multi-terminal flexible direct-current power transmission system, and control method therefor |
| CN107832926A (en) * | 2017-10-23 | 2018-03-23 | 中国南方电网有限责任公司电网技术研究中心 | Planning state distribution transformer load calculation method and system |
| CN109523060A (en) * | 2018-10-22 | 2019-03-26 | 上海交通大学 | Ratio optimization method of the high proportion renewable energy under transmission and distribution network collaboration access |
| WO2021213192A1 (en) * | 2020-04-22 | 2021-10-28 | 国网江苏省电力有限公司苏州供电分公司 | Load prediction method and load prediction system employing general distribution |
| CN114142469A (en) * | 2021-12-02 | 2022-03-04 | 国网河南省电力公司经济技术研究院 | Source network load storage hierarchical economic adaptation method considering multivariate adjusting resources |
Non-Patent Citations (1)
| Title |
|---|
| 孙悦;王海燕;同向前;: "基于功率与电量预估的有源配电网动态孤岛划分策略", 电力电容器与无功补偿, no. 05, 25 October 2018 (2018-10-25) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118074140A (en) * | 2024-04-18 | 2024-05-24 | 宁波市电力设计院有限公司 | Planning method and planning system for optimizing and enhancing reliability of power distribution network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jayasekara et al. | Optimal operation of distributed energy storage systems to improve distribution network load and generation hosting capability | |
| CN109149635A (en) | A kind of power distribution network distributed photovoltaic parallel optimization configuration method and system | |
| CN110061492B (en) | Energy storage system capacity optimal configuration method considering power supply reliability of power distribution network | |
| CN114597969B (en) | Power distribution network double-layer optimization method considering intelligent soft switch and virtual power plant technology | |
| CN113364055A (en) | Source network load storage networking coordination frequency control method | |
| CN116365506A (en) | Energy-saving and loss-reducing optimization method and system for active power distribution network containing distributed photovoltaic | |
| CN112085327B (en) | Multi-layer partition regulation and control method and system for active power distribution network participated by power distributor | |
| CN115102174A (en) | Inter-grid power mutual-aid method for active distribution network | |
| Qi et al. | When shared autonomous electric vehicles meet microgrids: Citywide energy-mobility orchestration | |
| CN110518605A (en) | A kind of area's three-phase equilibrium depth optimization method and system | |
| Salam et al. | Addressing the challenge of climate change: The role of microgrids in fostering a sustainable future-A comprehensive review | |
| CN116934105A (en) | Power distribution network flexibility evaluation method and system considering flexible resource access | |
| CN114678865A (en) | Large-span multi-region power supply collaborative optimization system and method | |
| CN115149534A (en) | Multi-level power distribution network regulation and control method | |
| CN111723974B (en) | Active power distribution network planning method based on power tight balance | |
| CN106651136B (en) | Day-ahead power generation plan compiling method and device for bilateral transaction | |
| CN115333107A (en) | Load adjusting method based on base station energy storage | |
| Penkey et al. | Voltage control by using capacitor banks and tap changing transformers in a renewable microgrid | |
| CN106505618B (en) | The unit of wind power integration power grid controls decreasing loss method | |
| CN116436020B (en) | Demand judging method and system for new energy Internet surfing aggregation station | |
| Katiraei et al. | Virtual Power Plant Empowerment in the Next Generation of Data Centers: Outlining the challenges | |
| CN118100421B (en) | Power grid data management system and method based on artificial intelligence | |
| Markovic et al. | The future role of a dso in distribution networks with high penetration of flexible prosumers | |
| CN112927095B (en) | Multi-time scale coordinated scheduling method for electric heating combined system | |
| US20240039320A1 (en) | Power management device for apartment houses using conservation voltage reduction and charging scheduling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |